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Talented people with interpersonal skills and competencies are pivotal for creating knowledge, innovation and organizational effectiveness, contributing to local development. In this regard, the quality of life is a critical factor in attracting and retaining talented people in any region. This study aims to analyze talents’ perception of the quality of life in an urban innovation ecosystem. This study considers talents to be the students from Science, Technology, Engineering and Mathematics programs.

This study analyzes 263 students from three of the country’s most important universities located in the city of Porto Alegre in southern Brazil. This study examines the data using principal component analysis and cluster techniques.

The results indicate five clusters. The “Love for the city” and the “Mixed” ones portray high levels of a sense of belonging to the city, but differ, for example, in their perception on city infrastructure. Conversely, both the “Worried about education” and the “Worried about commercial services” ones express low levels of a sense of belonging in the city. The “Security” cluster portrays the highest level on security issues in the city. The cluster analyses provide detailed information on the factors valued by talents in urban innovation ecosystems.

To date, to the best of the authors’ knowledge, this study is the first that uses cluster techniques to measure talents’ perception of the quality of life in an urban innovation ecosystem. The findings contribute to mapping talents’ perception and building profiles which may support the development of policies and programs to attract and retain qualified people in innovation ecosystems.

The rapid adoption of the ecosystem concept in innovation contexts has led to a proliferation of differing uses. Scholars need to be crystal clear which concept of the ecosystem they are using to facilitate communication between scholars and allow for cumulativeness and creativity. This paper aims to introduce some clarity into the conceptual mist that surrounds the notion of “ecosystems” in innovation contexts.

A review of the extant literature on ecosystems in innovation contexts to derive an integrated approach to understanding the variety of constructs in use.

This paper introduces clarity into the conceptual mist that surrounds the term “innovation ecosystem”, showing there are three basic types of ecosystems, all of which have a common focus on the collective production of a coherent system-level output.

Contributes through a comprehensive overview of the differing ecosystem types in innovation contexts and with a heuristic to disambiguate types of innovation ecosystems.

China's urbanization is a traditional development way of high energy consumption, low efficiency and extensive type. The resulting ecological environment damage and other problems seriously restrict the healthy and sustainable development of the city. Based on this, aiming at the complexity of the system, the multi-objective classification matrix method of fuzzy decision was selected, and the life cycle assessment model of the urban innovation ecosystem under the background of new urbanization in China was constructed. The research on the innovative ecological system planning of a heavy industrial city was carried out, and the wall was greening in the top space of the building. In the town planning, wind energy, solar power system, green corridor and ground floor were designed. Practice has proved that introducing innovative ecosystem into urbanization has played an important role in purifying urban air, increasing urban greening, improving energy structure and air pollution.

The purpose of this paper is to analyse the development and evolution of industrial innovation ecosystems of Around-Tongji Knowledge Economy Circle from the three levels mentioned above, focusing on knowledge-producing populations, core populations and service-supporting populations, and to further develop this research framework by combining with the latest developments.

Based on the five-helix theory and economic census statistical data, this paper adopts geographic information system technology and examines the characteristics of the industrial innovation ecosystem and the synergistic evolution process in Around-Tongji knowledge economy circle.

The knowledge product populations lead the development of industries in Around-Tongji Knowledge Economy Circle. It contributes political capital output for the government. It innovates community cooperation and governance mode, and it improves the natural ecological environment. In the face of the changes and challenges in the development environment, the future development must be recognised from the height of the iterative development of the interaction mode between university knowledge production and economic and social development.

Based on the five-helix theory and economic census statistical data, this paper examines the characteristics of the industrial innovation ecosystem and the synergistic evolution process in Around-Tongji Knowledge Economy Circle. It further expands the research framework used to develop a synergistic evolution model, which reveals the interactive and synergistic relationship among the populations and the evolution characteristics of the entire industrial innovation ecosystem. This paper also provides useful perspectives for the study of the industrial innovation ecosystem.

The purpose of this paper is to satisfy a clear gap in the main field of open innovation research whereabouts a very little scholarship try to analyze the mechanisms of innovative milieu down smart cities environments by applying through innovative projects that seem to support efficiently the entry of private firms and citizens in public collaborations.

The research performed an exploratory and qualitative evaluation based on the case study method built on the evaluation of organizational behavior and urban boosting innovation through smart city initiatives. In doing so, after a literature review in smart city as well in lean methodology fields, the case of Turin Smart City follows.

As acknowledged by international literature, the paper shows how a lean approach enables local government to define and realize smart projects and initiatives in a faster and more effective way. Particularly, the government in one of the main cities in Italy, id est Turin, combines a lean methodology with the job-to-be done approach, according a new concept of smart initiatives involving a startup mentality for the lead users which enables interesting predictions relating the human aspects of open collaborations.

The specificity of this inquiry highlights valuable insights from double-gate smart cities’ innovation, social and urban as well. The research is largely interpretative and exploratory and while this provides a solid scientific foundation for further research, it does not, itself, subject any hypothesis to statistical testing and validation.

Since the city approached the smart city subject in a lean way, it was able to realize some projects in a faster way. Through specific initiatives, the city acquires the ability to involve more and better all its stakeholders such as citizens, companies, and public employees, among others. In this regard, the paper invigorates managerial debates concerning the urban and social aspects of open innovation ecosystems which represent in our minds a superior level of open innovation, testbeds of positive knowledge, and stimulus of knowledge dissemination process around the city.

Innovation ecosystems can emerge and grow organically, but the process can also be managed through conscious intervention. Therefore, this study observes different motivations and expectations for each group of actors. The lack of alignment between actors could have a negative influence on the development of innovation ecosystems. This study aims to analyze the coordination strategies of the actors throughout the life cycle of innovation ecosystems.

This study develops and proposes a model for coordinating innovation ecosystems based on the theoretical backgrounds of the ecosystem life cycle and ecosystem coordination.

This study argues that each stage of an innovation ecosystem’s life cycle – inception, launching, growth and maturity – demands different coordination strategies. Initially, networks are simpler and thus the coordination issues are less difficult. However, as the ecosystem evolves and the complexity of the networks increases, a more sophisticated strategy, such as orchestration or choreography, is needed.

This is a theoretical study that recommends further research to test this model.

The understanding of coordination and stages of the life cycle of an innovation ecosystem can guide actors in the design of strategies for developing of ecosystems.

The proposed framework could support strategies to engage civil society in actions to develop innovation ecosystems.

This study presents a framework to understand the coordination strategies better, considering the stages of an innovation ecosystem’s life cycle.

The purpose of this paper is to examine whether fiscal decentralization has impacts on city innovation level and to examine the moderating effects of the preference for government innovation in China.

Using a panel data of China’s 278 cities from 2003 to 2016, the authors first use fixed-effect model and quantile regression to analyze the impact of fiscal decentralization on city innovation level and the variations of impacts conditional on different innovation levels, followed by a mediating effect model to test the moderating effects of the preference for government innovation and its temporal and spatial heterogeneity.

The paper finds that fiscal decentralization significantly inhibited city innovation, and with the improvement of city innovation level, the inhibition demonstrated characteristics of “V” type variation. When the degree of fiscal decentralization is between 0.377 and 0.600, the inhibition of fiscal decentralization on city innovation level is the weakest. We further show that fiscal decentralization also inhibits the government's preference for innovation, reduces the proportion of fiscal expenditure on innovation and has a negative impact on city innovation. In addition, the influence of fiscal decentralization on city innovation present clear heterogeneity in space and in time. On one hand, the inhibition of fiscal decentralization on city innovation level in eastern China is significantly weaker than that in central and Western China; on the other hand, after the implementation of China’s innovation-driven development strategy in 2013, the negative impact of fiscal decentralization on city innovation disappeared.

The research findings have certain policy implications. That is, in the process of decentralization reform, on the one hand, the central government should strengthen the supervision over the fiscal expenditure of local governments and ensure that the central government can play a leading role in the local development strategy, on the other hand, the central government should guard against the distortion of fiscal decentralization on local governments' fiscal expenditure behavior. In addition, the central government should also focus on the heterogeneity of the impacts of fiscal decentralization on cities under different strategic backgrounds and different levels of innovation.

This paper extends prior research by bringing the decentralization system reform into the study of city innovation system and analyzing its mechanism and its temporal and spatial heterogeneity.

The chapter aims at advancing existing knowledge on innovation-oriented public-private partnerships for developing smart tourism services at destination level. Recent research has emphasized to the importance of collaborative arrangements involving public sector organizations and private companies for the development of new or improved ICT-enabled tourism services towards the smart transformation of destinations. However, knowledge on public-private partnerships specifically set up for realizing smart innovations is still scarce. This chapter develops a framework for understanding the nature and functioning of this type of partnerships at destination level by integrating literature on tourism partnerships, smart tourism, and innovation in services with a case study of a successful partnership in the Italian destination of Siracusa.

The purpose of this paper is to analyze the business model of techno parks (TPs) in Turkey and shed light on the value co-creation in TPs in the light of the service perspective and stakeholder theory.

In this conceptual paper, a generic business model canvas for Turkish TPs has been elicited based on an in-depth review of the literature. Then, the functioning of the model and the nature of value co-creation have been viewed through the lenses of service perspective and stakeholder theory, and then the relationships and flows between the components of the business model have been visualized with a dynamic model.

The institutional environment leads Turkish TPs to have similar business models with functional differences. The value is co-created by stakeholders in TPs and value co-creation depends on the skills, competencies and cooperative efforts of all actors involved in the functioning of the business model.

This paper provides insight for TP management companies to improve their business models, for policymakers to refine institutional framework to enable effective functioning of TPs and for stakeholders to understand their role in value co-creation.

This paper provides a dynamic framework and a model for understanding business models of TPs and the value co-creation process, which is an understudied area, especially in a developing country context. It also extends the business model and value co-creation literature in the context of TPs by integrating multiple theoretical perspectives.

The purpose of this article is to posit an alternative learning design approach to the technology-led magnification and multiplication of learning and to the linearity of curricular design approaches such as a constructive alignment. Learning design ecosystem thinking creates complex and interactive networks of activity that engage the widest span of the community in addressing critical pedagogical challenges. They identify the pinch-points where negative engagements become structured into the student experience and design pathways for students to navigate their way through the uncertainty and transitions of higher education at-scale.

It is a conceptual paper drawing on a deep and critical engagement of literature, a reflexive approach to the dominant paradigms and informed by practice.

Learning design ecosystems create spaces within at-scale education for deep learning to occur. They are not easy to design or maintain. They are epistemically and pedagogically complex, especially when deployed within the structures of an institution. As Gough (2013) argues, complexity reduction should not be the sole purpose of designing an educational experience and the transitional journey into and through complexity that students studying in these ecosystems take can engender them with resonant, deeply human and transdisciplinary graduate capabilities that will shape their career journey.

The paper is theoretical in nature (although underpinned by rigorous evaluation of practice). There are limitations in scope in part defined by the amorphous definitions of scale. It is also limited to the contexts of higher education although it is not bound to them.

This paper challenges the dialectic that argues for a complexity reduction in higher education and posits the benefits of complexity, connection and transition in the design and delivery of education at-scale.